Who Benefits More from Online Learning: An Empirical Study on Postgraduates’ Online Knowledge Sharing Behavior

doi:10.16382/j.cnki.1000-5560.2023.02.003

Abstract

Abstract:

Online knowledge sharing is the key link of individual development in the digital age. Postgraduates are the core members of the future knowledge society. Exploring the factors affecting their online knowledge sharing behavior is of positive significance to promote postgraduates to enjoy digital dividends fairly and contribute to the construction of Digital China. However, the existing literature lacks attention to this topic. This study examines factors resulting in postgraduates differentiated online knowledge sharing behavior from two dimensions – social structure and individual ability. The results of the questionnaire survey of 501 postgraduates show that: first, structural factors (gender, school type, location, father’s occupation, and father’s education) have a significant impact on postgraduates’ online knowledge sharing behavior. These also have a greater impact on the quality of online knowledge sharing than in a quantity sense. Second, individual ability factors (information literacy) also have a significant impact on postgraduates’ online knowledge sharing behavior. It has a greater impact on the quantity of online knowledge sharing than in a quality sense. Third, there is Matthew effect in the Internet context, and certain effects of structural factors on online knowledge sharing behavior are indirectly generated through individual ability factors. Participants with privileged status regarding structural factors show a higher level of information literacy, which encourages them to be more active in online knowledge sharing behavior and facilitates their high-quality production.

Key words: digital society, digital divide, structural factors, ability factors, online knowledge sharing behavior

Chiyao Sun, Ji’an Liu, Yanru Xu. Who Benefits More from Online Learning: An Empirical Study on Postgraduates’ Online Knowledge Sharing Behavior[J]. Journal of East China Normal University(Educational Sciences), 2023, 41(2): 25-37.

Figures/Tables 6

References 0

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类别	分类	频数	比例
性别	男	215	42.91%
性别	女	286	57.09%
受教育程度	硕士研究生	252	50.30%
受教育程度	博士研究生	249	49.70%
学校类型	一流大学建设高校	194	38.72%
	一流学科建设高校	151	30.14%
	普通高校	156	31.14%
城乡所在地	城镇	292	58.28%
城乡所在地	农村	209	41.72%
父亲职业层次	体力劳动者	238	47.50%
	技术工作者	200	39.92%
	企事业负责人	63	12.57%
父亲受教育程度	小学及以下	142	28.34%
	初中	162	32.34%
	高中	118	23.55%
	大学及以上	79	15.77%

	（1）	（2）	（3）	（4）	（5）	（6）	（7）	（8）	（9）
（1）	1.000
（2）	0.967***	1.000
（3）	0.958***	0.853***	1.000
（4）	0.532***	0.497***	0.546***	1.000
（5）	?0.316***	?0.305***	?0.303***	?0.170***	1.000
（6）	0.430***	0.400***	0.429***	0.467***	0.076	1.000
（7）	0.475***	0.442***	0.476***	0.530***	0.137**	0.311***	1.000
（8）	0.435***	0.387***	0.455***	0.376***	0.129*	0.198***	0.468***	1.000
（9）	0.409***	0.360***	0.433***	0.420***	0.052	0.207***	0.487***	0.502***	1.000

		B	S.E.	β	B	S.E.	β
		Model1在线知识共享数量			Model2在线知识共享质量
个体能动性因素	信息意识素养	0.179	0.050	0.206***	0.123	0.050	0.156**
	信息获取素养	0.370	0.053	0.292***	0.280	0.066	0.250***
	信息辨别素养	0.181	0.048	0.218***	0.477	0.054	0.415***
	信息应用素养	0.197	0.065	0.160**	0.207	0.048	0.275***

			B	S.E.	β	B	S.E.	β
			Model3在线知识共享数量			Model4在线知识共享质量
社会结构性因素	性别		?0.333	0.105	?0.151**	?0.445	0.069	?0.215***
	学校类型	一流学科建设高校	0.314	0.107	0.142**	0.532	0.089	0.239***
	学校类型	一流大学建设高校	0.580	0.086	0.305***	0.654	0.087	0.311***
	城乡所在地		0.346	0.085	0.184***	0.316	0.086	0.152***
	父亲职业	技术工作者	0.266	0.086	0.141**	0.418	0.088	0.200***
	父亲职业	企事业负责人	0.388	0.120	0.139**	0.558	0.122	0.181***
	父亲受教育程度	初中水平	0.237	0.091	0.119**	0.497	0.092	0.227***
		高中水平	0.247	0.111	0.113*	0.440	0.113	0.182***
		大学及以上	0.329	0.123	0.129**	0.545	0.124	0.194***

			B	S.E.	β	B	S.E.	β
			Model 5信息意识素养			Model 6信息获取素养
社会结构性因素	性别		?0.078	0.086	?0.033	?0.245	0.063	?0.150***
	学校类型	一流学科建设高校	0.526	0.110	0.205***	0.314	0.081	0.179***
	学校类型	一流大学建设高校	0.877	0.108	0.363***	0.541	0.078	0.327***
	城乡所在地		0.677	0.106	0.283***	0.379	0.078	0.232***
	父亲职业	技术工作者	0.147	0.109	0.061	0.083	0.079	0.050
	父亲职业	企事业负责人	0.149	0.152	0.042	0.164	0.110	0.068
	父亲受教育程度	初中水平	0.356	0.114	0.141**	0.210	0.083	0.122*
		高中水平	0.445	0.140	0.160**	0.203	0.102	0.107*
		大学及以上	0.558	0.154	0.173**	0.190	0.112	0.086
			Model 6信息辨别素养			Model 7信息应用素养
社会结构性因素	性别		?0.182	0.090	?0.073**	?0.173	0.063	?0.103**
	学校类型	一流学科建设高校	0.358	0.116	0.133**	0.300	0.082	0.166***
	学校类型	一流大学建设高校	0.743	0.113	0.293***	0.490	0.080	0.287***
	城乡所在地		0.737	0.111	0.294***	0.370	0.079	0.220***
	父亲职业	技术工作者	0.260	0.114	0.103**	0.151	0.080	0.089
	父亲职业	企事业负责人	0.417	0.158	0.112**	0.118	0.111	0.047
	父亲受教育程度	初中水平	0.375	0.119	0.142**	0.290	0.084	0.163**
		高中水平	0.439	0.146	0.151**	0.339	0.103	0.173**
		大学及以上	0.499	0.161	0.147**	0.464	0.114	0.204***